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Francis E. Kennedy

Researcher at Dartmouth College

Publications -  145
Citations -  7745

Francis E. Kennedy is an academic researcher from Dartmouth College. The author has contributed to research in topics: Tribology & Finite element method. The author has an hindex of 43, co-authored 144 publications receiving 7341 citations. Previous affiliations of Francis E. Kennedy include Dartmouth–Hitchcock Medical Center & Rensselaer Polytechnic Institute.

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Contact Surface Temperature Models for Finite Bodies in Dry and Boundary Lubricated Sliding

TL;DR: In this paper, a model is proposed for determining the contact surface temperature in dry and boundary lubricated sliding systems using the concepts of small scale and large scale heat flow restrictions to divide the temperature increase in a sliding contact into two contributions, a nominal surface temperature rise and a local temperature rise.
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Contact temperatures and their influence on wear during pin-on-disk tribotesting

TL;DR: In this paper, the authors present some of the most useful analytical and numerical methods that can be used to predict surface temperature rises in dry or boundary lubricated pin-on-disk tribotests.
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Modeling of Soft Poroelastic Tissue in Time-Harmonic MR Elastography

TL;DR: Results indicate that linearly elastic reconstructions of fluid-saturated porous media at amplitudes and frequencies relevant to steady-state MRE can yield misleading effective property distributions resulting from the complex interaction between their solid and fluid phases.
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Elasticity reconstruction from experimental MR displacement data: initial experience with an overlapping subzone finite element inversion process.

TL;DR: Preliminary investigations suggest that transient effects in the data are the cause of a significant mismatch between the inversion model, which assumes steady-state conditions, and the actual displacements as measured by a phase contrast MR technique.
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In Vivo Modeling of Interstitial Pressure in the Brain Under Surgical Load Using Finite Elements

TL;DR: This paper developed and quantified the deformation characteristics of a three-dimensional porous media finite element model of brain deformation in vivo and demonstrated that porous-media consolidation captures the hydraulic behavior of brain tissue subjected to comparable surgical loads and that the experimental protocol causes minimal trauma to porcine brain tissue.